ML Platform Engineer

Pioneer in earned wage access, building products for real-time financial flexibility for those living paycheck to paycheck.
$272,700 - $333,300
Machine Learning
Senior Software Engineer
Hybrid
7+ years of experience
Finance · AI

Description For ML Platform Engineer

EarnIn, a pioneer in earned wage access, is revolutionizing financial services by providing real-time financial flexibility for those living paycheck to paycheck. Backed by prestigious investors like A16Z, Matrix Partners, DST, and Ribbit Capital, we're experiencing rapid growth and seeking top talent to join our journey.

We're looking for an experienced ML Platform Engineer to drive our machine learning initiatives. This role is crucial as ML enables all our financial services. We're making significant investments in ML platforms and algorithms, and need someone to help shape and execute our vision for state-of-the-art capabilities.

As an ML Platform Engineer, you'll be responsible for designing and maintaining our ML infrastructure, optimizing workflows, and ensuring scalability and reliability. You'll work closely with ML engineers, provide technical mentorship, and drive operational excellence. The ideal candidate brings 7+ years of ML experience, strong Python skills, and expertise with modern ML frameworks and cloud platforms.

The position offers a competitive salary range of $272,700 - $333,300, plus equity and benefits. Based in Palo Alto with a hybrid work arrangement (2 days in office), you'll join a diverse team committed to building a financial system that works for everyone. We celebrate diversity and foster a culture of belonging, making EarnIn an excellent place to grow your career while making a meaningful impact.

Last updated 21 days ago

Responsibilities For ML Platform Engineer

  • Design, build, and maintain the ML platform and tools to support the end-to-end machine learning lifecycle
  • Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes
  • Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
  • Contribute to the evaluation and adoption of new technologies and tools
  • Provide technical guidance and mentorship to junior team members
  • Set examples of outstanding operational excellence

Requirements For ML Platform Engineer

Python
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 7+ years of industry machine learning experience and excellent software engineering skills
  • Strong programming skills in Python, and familiarity with ML frameworks such as TensorFlow or PyTorch
  • Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI
  • Familiarity with data pipeline and workflow management tools
  • Strong communication and collaboration skills
  • Passion for learning and staying updated with the latest industry trends

Benefits For ML Platform Engineer

Equity
  • Equity

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